LENOVO Ideacentre K430
Geekbench AI Score
803
Single Precision Score
467
Half Precision Score
663
Quantized Score
Geekbench AI 1.1.0 for Windows x86 (64-bit)
Result Information
| Upload Date | November 20 2024 10:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-3770 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | LENOVO Ideacentre K430 |
| Motherboard | LENOVO |
| Power Plan | Lenovo Power Scheme |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3770 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
514
95.6 IPS |
|
|
Image Classification (HP)
|
100% |
195
36.3 IPS |
|
|
Image Classification (Q)
|
96% |
533
99.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
444
7.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
289
4.68 IPS |
|
|
Image Segmentation (Q)
|
97% |
487
7.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
1236
1.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
914
1.07 IPS |
|
|
Pose Estimation (Q)
|
87% |
1165
1.38 IPS |
|
|
Object Detection (SP)
|
100% |
480
38.1 IPS |
|
|
Object Detection (HP)
|
100% |
246
19.5 IPS |
|
|
Object Detection (Q)
|
90% |
437
34.9 IPS |
|
|
Face Detection (SP)
|
100% |
808
9.60 IPS |
|
|
Face Detection (HP)
|
100% |
513
6.09 IPS |
|
|
Face Detection (Q)
|
96% |
919
11.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1444
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
711
5.48 IPS |
|
|
Depth Estimation (Q)
|
78% |
984
7.86 IPS |
|
|
Style Transfer (SP)
|
100% |
3022
3.89 IPS |
|
|
Style Transfer (HP)
|
100% |
2467
3.17 IPS |
|
|
Style Transfer (Q)
|
87% |
2548
3.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
623
23.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
517
19.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
614
22.8 IPS |
|
|
Text Classification (SP)
|
100% |
578
772.0 IPS |
|
|
Text Classification (HP)
|
100% |
305
407.1 IPS |
|
|
Text Classification (Q)
|
97% |
239
319.5 IPS |
|
|
Machine Translation (SP)
|
100% |
650
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
278
4.80 IPS |
|
|
Machine Translation (Q)
|
60% |
368
8.20 IPS |
